To every thing there is a season — User research on the Bible: King James Version text collection
blogs.lib.umich.edu·20h
📜Text Collation
Renesas RL78/L23 16-bit MCU features segment LCD interface, SMS for low-power HMI systems
cnx-software.com·1h
🔌Microcontrollers
Thinking Thursday: Oliver Wendell Holmes, Jr.
denisegaskins.com·1h
📐Mathematical Art
DIY NTP message extensions
blog.meinbergglobal.com·1d
📻Homebrew Protocols
Piramidal (YC W24) Is Hiring Back End Engineer
ycombinator.com·2h·
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Rackintosh Plus
identity4.com·22h·
Discuss: Hacker News
🖥️Vintage Macintosh
Agentic AI Runs on Tools
simplicityissota.substack.com·2d·
Discuss: Substack
⚡Incremental Computation
My review of Claude's new Code Interpreter, released under a very confusing name
simonwillison.net·1d·
Discuss: Hacker News, Hacker News
🌳Incremental Parsing
Single-Shot Decoding of Biased-Tailored Quantum LDPC Codes
arxiv.org·2d
⚛️Quantum LDPC
From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media
arxiv.org·3d
🌀Brotli Dictionary
JoPA:Explaining Large Language Model's Generation via Joint Prompt Attribution
arxiv.org·1d
🤖Grammar Induction
Ban&Pick: Achieving Free Performance Gains and Inference Speedup via Smarter Routing in MoE-LLMs
arxiv.org·2d
💻Local LLMs
The Majority is not always right: RL training for solution aggregation
arxiv.org·2d
🔗Parser Combinators
izzyreal/vmpc-juce
github.com·1d
🎮Gameboy Emulation
XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learning
arxiv.org·1d
⟷Bidirectional Programming
STL-based Optimization of Biomolecular Neural Networks for Regression and Control
arxiv.org·2d
📊Quantization
Intro to Python Module One: Getting Started with Python
dev.to·2d·
Discuss: DEV
🔗Lisp
Quantifying Driver Cognitive Load Through Dynamic Saccade Analysis & Predictive Risk Modeling
dev.to·15h·
Discuss: DEV
🎯Threat Hunting
I have been working on a PlayStation 1 emulator written in Rust.
reddit.com·1d·
Discuss: r/rust
🦀Embedded Rust
Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations
arxiv.org·10h
🕸️Network Topology